• Korean Journal of Community Nutrition
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• v.3 no.2
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• pp.190-201
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• 1998

This study was carried out with 505(243 boys and 262 girls in the Sungnam area) high school students to investigate the effects of eating behavior and anthropometric variables of weight and height on excercise performance. General characteristics about subjects and eating behavior were surveyed by questionnaire, anthropometric data were collected using two methods. The weight and height of subjects in 1996 were measured, but the same data in 1995 were collected from health records of each student. Body fat content of subjects was measured by BIA(Body Impedance Analysis). The grades of exercise performance, which were evaluated by physical education teachers were collected from records of a physical strength test score of each subject. From these, the following result were found. Groups with different eating behaviors such as skipping meals, overeating, food preference for a specific food(milk, carbonated drink etc.) were significantly different in their weight and height and body fat contents. The growth rate of height in first and second grade boys was significantly higher than that for grade boys. The amount of weight gain from second grade to third grade was significantly more than that of other grades both for boys and girls. The mean of BMI was $21.66\pm{2.95}$ in boy, $21.50\pm{2.62}$ in girls. The percentage of body fat was $24.91\pm{6.55%}$ in boy $34.73\pm{4.88%}$ in girls. Amounts of body fat were significantly increased in third grade. The group with higher fat content and the higher BMI group had lower values of physical strength. And the ability to exercises perform decreased significantly by promotion of grade. The other variables such as degree of concern about weight control and preference of exercise, and frequencies of exercise per week were significant factors in body fat content and physical strength. As a countermeasure for these problems, nutrition and health education must be developed for adolescents and a practical, proper physical activity guidance campaign for them is necessary.

• Nutrition Research and Practice
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• v.8 no.3
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• pp.319-326
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• 2014

BACKGROUND/OBJECTIVES: The immigrant population has grown considerably in South Korea since the early 1990s due to international marriages. Dietary changes in immigrants are an important issue, because they are related to health and disease patterns. This study was conducted to compare changes in dietary intake between baseline and follow-up periods. SUBJECTS/METHODS: Two hundreds thirty three Vietnamese female married immigrants. Baseline data were collected during 2006-2009, and the follow-up data were collected during 2008 and 2010. Food consumption was assessed using a 1-day 24-hour recall. RESULTS: The amount of the total food consumed (P < 0.001) including that of cereals (P = 0.004), vegetables (P = 0.003), and fruits (P = 0.002) decreased at follow-up compared to that at baseline, whereas consumption of milk and dairy products increased (P = 0.004). Accordingly, the overall energy and nutrient intake decreased at follow-up, including carbohydrates (P = 0.012), protein (P = 0.021), fiber (P = 0.008), iron (P = 0.009), zinc (P = 0.006), and folate (P = 0.002). Among various anthropometric and biochemical variables, mean skeletal muscle mass decreased (P = 0.012), plasma high density lipoprotein-cholesterol increased, (P = 0.020) and high sensitivity C-reactive protein decreased at follow-up (P < 0.001). CONCLUSIONS: A long-term follow-up study is needed to investigate the association between changes in food and nutrient intake and anthropometric and biochemical variables in these Vietnamese female marriage immigrants.

• Clinical Nutrition Research
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• v.12 no.4
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• pp.257-268
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• 2023

Migraine is a common neurological disease correlated with oxidative stress and lipid profile disorders. The present study was designed to determine the effects of Coenzyme Q10 (Co-Q10) supplementation on oxidative status and lipid profile in migraine individuals. This clinical trial was conducted on 84 females aged 18-50 years, diagnosed for episodic migraine according to the International Headache Society. Subjects were randomized to receive either Co-Q10 supplement (400 mg/day) or placebo for 12 weeks. Lipid profile and oxidative stress indices including malondialdehyde (MDA) and total antioxidant capacity (TAC) were measured before and after intervention in both groups. Also, anthropometric indices, dietary intakes, and clinical features were collected. Data analysis was conducted using SPSS version 16. Seventy-seven of the participants, with mean age of 33.70 ± 7.75 years, completed the study. After 12-week intervention, Co-Q10 led to a significant decrease in MDA levels compared to placebo (p = 0.009), with no effect on TAC levels (p = 0.106). A significant increase in serum Co-Q10 concentration and high-density lipoprotein cholesterol (HDL-C) level in Co-Q10 group was observed, but no significant differences were found in other lipid profile variables (low-density lipoprotein cholesterol, triglycerides and total cholesterol). Among anthropometric variables, Co-Q10 only caused a significant reduction in body fat percentage (BFP), but we did not find any significant changes in others. A 12-week Co-Q10 supplementation led to significant improvement in clinical features, BFP, and HDL-C level among migraine individuals.

• Journal of the Ergonomics Society of Korea
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• v.27 no.2
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• pp.1-7
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• 2008

This study quantified 7 trunk muscles' physiological cross-sectional areas (PCSAs) and developed prediction equations for the physiological cross-sectional area as a function of anthropometic variables for Korean people. Nine females and nine males were participated in the magnetic resonance imaging (MRI) scans approximately from S1 through T8. Muscle fiber angle corrected cross-sectional areas (anatomical cross sectional areas: ACSAs) were recorded at each vertebral level and maximum value of ACSAs were determined as physiological cross sectional area (PCSA). There was a significant gender difference in PCSAs of all muscles (p<0.05). Stepwise linear regression techniques using anthropometric measures (e.g., height, weight, trunk depths and widths) as independent variables were conducted to develop prediction equations for the PCSA for each muscle. For males, six muscles' significant prediction equations (p<0.05) were developed except quadratus lumborum. For females, three prediction equations were developed for psoas, quadratus lumborum, and erector spinae muscles (p<0.05).

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.1
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• pp.57-65
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• 2008

In the vehicle design, the research on driving posture has stood out as one of the important issues. Recently, the research on 3D human modeling focused on more exact implementation of real driving posture. However, prediction of driving posture through the 3D human modeling fail to reflect on the model the phenomenon called sagging, which refers to the retraction or shrinking of the torso while driving. 30 male subjects participated in the experiment where total subjects were divided into four groups according to height percentile(under 50%ile, 51%ile to 75%ile, 76%ile to 95%ile, over 95%ile). The independent variables were seat back angle(4 levels) and seat pan angle(2 levels). The dependent variable was capacity or the degree of retraction of the torso. First this study measured the sagging capacity by using a paired T-test between erect and retracted posture. Secondly it was tried to find out significant anthropometric variables that were statistically correlated by the analysis of correlation. Finally, a prediction model was derived which explains the capacity of sagging.

• Journal of Nutrition and Health
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• v.37 no.2
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• pp.123-131
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• 2004

This study was carried out to identify dietary risk factors for childhood obesity. The study subjects were male children, aged 2-6years, who were enrolled in nursery schools and kindergartens. We obtained anthropometric measurements from 949 boys and dietary questionnaires from 253 boys. The subjects were classified into two groups using the BMI criteria, normal (n=200) group with the BMI below 85th percentile and the obese group with the BMI at 85th percentile and above (n=53). The logistic regression analysis showed that the odds ratios (OR) for obesity were, birth weight greater than 4.0㎏ (3.27) , increased meal speed (4.98) , the frequency of overeating more than twice a week (2.63), the consumption of cooked rice more than one bowl per meal (2.77), the consumption of milk and dairy products less than 5 times a week (2.81), and increased maternal meal speed (1.98). Stepwise multiple logistic regression analyses showed that the variables which contribute to obesity significantly were birth weight greater than 4.0 ㎏ (OR 5.19), the frequency of overeating more than twice a week (OR 2.51) , the consumption of cooked rice more than one bowl per meal (OR 2.74), and the consumption of milk and dairy products less than 5 times a week (OR 4.43) (p＜0.0001) . The results of this study indicate that dietary habits of both children and of their mothers as well as child's birth weight are important variables that contribute to childhood obesity. (Korean J Nutrition 37(2): 123-131, 2004)

• Fashion & Textile Research Journal
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• v.20 no.4
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• pp.464-473
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• 2018

The objective of this study is to develop a sizing system of fitness clothing that can properly accommodate various body sizes of Korean senior women. The sizing system of upper and lower fitness clothing was developed in the present study by selection of key variables, identification of size category candidates, and determination of an optimal sizing system. First, key anthropometric dimensions (stature and bust circumference for upper clothing and stature; waist circumference for lower clothing) were identified by factor analysis on the direct body measurements (n = 272) and 3D whole-body scan data (n = 271) of Korean senior women in Size Korea. Second, sizing system candidates based on the key dimensions of upper and lower clothing were explored using a grid method and an optimization method. Lastly, among the sizing system candidates, optimal sizing systems of upper and lower clothing were selected in terms of accommodation rate. Five size categories (short/small, short/medium, tall/small, tall/medium, and tall/large) were selected as the optimal sizing systems of upper and lower clothing with 89% and 78% of accommodation rate, respectively, for the Korean senior women. The anthropometric characteristics of the representative humans of the optimal size categories would be of use in the design of fitness compressive wear for the better fit and effectiveness of exercise and health of Korean senior women.

• Journal of the Korean Home Economics Association
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• v.43 no.5 s.207
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• pp.199-219
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• 2005

The purpose of this study was to investigate the prevalence and to identify the related factors of overweight among young children. The study subjects were 138 children, aged 3-5, attending child care centers in the Kyungbuk area. We assessed a wide range of collected variables including general characteristics, anthropometric data, dietary habits, stress, food preferences, and food frequencies of young children, and anthropometric data and general characteristics of their parents. The results of this study were analyzed with $\chi$$^{2}$_ or t-test using SPSS package program. The subjects were classified into two groups using the weight for length index WLI criteria: normal group(n=101) and overweight group(n=37). Forty-nine percent of mothers of overweight children did not recognize their child's current overweight status. Scores for encountering criticized-violent situation stress, hurt-pride stress and total stress were higher in the overweight group than in the normal group. The frequency of snacking and the appetite of the overweight group were increased compared to those of the normal group. The overweight group had higher preferences for salad, kimbab, boiled rice with meat, vegetables and Chinese noodles, chicken, shell, banana, soybean milk, hotdog, and potato than the normal group. The overweight group showed higher consumption frequencies of pan-fried foods, egg, laver and strawbery compared to the normal group. Therefore, our results suggest that obese young children, as well as their parents, need more nutritional counseling education about dietary habits, food preference, recognition of normal weight and strategies for actively coping with stresstopreventandtreatobesityandtomaintainhealth. .

• Nutrition Research and Practice
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• v.15 no.1
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• pp.95-105
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• 2021

BACKGROUND/OBJECTIVES: The measurement of body composition, including muscle and fat mass, remains challenging in large epidemiological studies due to time constraint and cost when using accurate modalities. Therefore, this study aimed to develop and validate prediction equations according to sex to measure lean body mass (LBM), appendicular skeletal muscle mass (ASM), and body fat mass (BFM) using anthropometric measurement, serum creatinine level, and lifestyle factors as independent variables and dual-energy X-ray absorptiometry as the reference method. SUBJECTS/METHODS: A sample of the Korean general adult population (men: 7,599; women: 10,009) from the Korean National Health and Nutrition Examination Survey 2008-2011 was included in this study. The participants were divided into the derivation and validation groups via a random number generator (with a ratio of 70:30). The prediction equations were developed using a series of multivariable linear regressions and validated using the Bland-Altman plot and intraclass correlation coefficient (ICC). RESULTS: The initial and practical equations that included age, height, weight, and waist circumference had a different predictive ability for LBM (men: R2 = 0.85, standard error of estimate [SEE] = 2.7 kg; women: R2 = 0.78, SEE = 2.2 kg), ASM (men: R2 = 0.81, SEE = 1.6 kg; women: R2 = 0.71, SEE = 1.2 kg), and BFM (men: R2 = 0.74, SEE = 2.7 kg; women: R2 = 0.83, SEE = 2.2 kg) according to sex. Compared with the first prediction equation, the addition of other factors, including serum creatinine level, physical activity, smoking status, and alcohol use, resulted in an R2 that is higher by 0.01 and SEE that is lower by 0.1. CONCLUSIONS: All equations had low bias, moderate agreement based on the Bland-Altman plot, and high ICC, and this result showed that these equations can be further applied to other epidemiologic studies.

• Journal of radiological science and technology
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• v.43 no.6
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• pp.503-509
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• 2020

This study aims to develop a patient-specific radiation exposure dose prediction model based on anthropometric data that can be easily measurable during CT examination, and to be used as basic data for DRL setting and radiation dose management system in the future. In addition, among the machine learning algorithms, the most suitable model for predicting exposure doses is presented. The data used in this study were chest CT scan data, and a data set was constructed based on the data including the patient's anthropometric data. In the pre-processing and sample selection of the data, out of the total number of samples of 250 samples, only chest CT scans were performed without using a contrast agent, and 110 samples including height and weight variables were extracted. Of the 110 samples extracted, 66% was used as a training set, and the remaining 44% were used as a test set for verification. The exposure dose was predicted through random forest, linear regression analysis, and SVM algorithm using Orange version 3.26.0, an open software as a machine learning algorithm. Results Algorithm model prediction accuracy was R^2 0.840 for random forest, R^2 0.969 for linear regression analysis, and R^2 0.189 for SVM. As a result of verifying the prediction rate of the algorithm model, the random forest is the highest with R^2 0.986 of the random forest, R^2 0.973 of the linear regression analysis, and R^2 of 0.204 of the SVM, indicating that the model has the best predictive power.